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materials science Content acquisition: Acquire high-quality content in close collaboration with external journal editors and internal commissioning team Stakeholder engagement: Build and maintain strong
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Communications AI & Computing (https://www.nature.com/commsaicomp/ ). Communications AI & Computing is a multidisciplinary open-access journal publishing high-quality research across computational sciences and
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. Disciplines include Computer Science, Philosophy & Statistics. Attractive remuneration package offered. About the area UWA India is a strategic international initiative of The University of Western Australia
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Faculty Positions in School of Al for Science / School of Electronic and Computer Engineering, PKUSZ
for Materials Science, AI for Life Science, and Computational Mathematics. We welcome candidates whose research aligns with these directions and who are eager to contribute to an open, cutting-edge, and cross
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Portfolio is home to the leading, international weekly journal of science, Nature – founded in 1869. It is also home to the Nature research and Nature Reviews journals, the leading open access
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applications for faculty positions in Computer Science. Faculty specialising in data science, machine learning (deep learning, reinforcement learning, multimodal learning), Generative AI, and computer graphics
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Title: Associate or Senior Editor, Nature Communications (Computational biology) Location: Shanghai, Beijing, New Delhi and Pune Application Deadline: April 15, 2026 About Springer Nature Springer
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Economics, Mathematical and Computational Biology, Theoretical Ecology), Statistics, Machine Learning and Data Science, and Theoretical Computer Science are especially encouraged to apply. The School has
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years, we provide technology-enabled products, platforms and services that help researchers to uncover new ideas and share their discoveries, health professionals to stay at the forefront of medical
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cutting-edge research in areas such as pattern recognition, automation science, complex systems, AI for Science, robotics, machine learning, computer vision, natural language processing, biometrics, medical